Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Utility of polygenic embryo screening for disease depends on the selection strategy

View ORCID ProfileTodd Lencz, Daniel Backenroth, Einat Granot-Hershkovitz, Adam Green, Kyle Gettler, Judy H. Cho, Omer Weissbrod, Or Zuk, Shai Carmi
doi: https://doi.org/10.1101/2020.11.05.370478
Todd Lencz
1Departments of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA, 11550
2Department of Psychiatry, Division of Research, The Zucker Hillside Hospital Division of Northwell Health, Glen Oaks, NY, USA, 11004
3Institute for Behavioral Science, The Feinstein Institutes for Medical Research, Manhasset, NY, USA, 11030
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Todd Lencz
  • For correspondence: tlencz@northwell.edu shai.carmi@huji.ac.il
Daniel Backenroth
4Braun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel, Jerusalem, 9112102
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Einat Granot-Hershkovitz
4Braun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel, Jerusalem, 9112102
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Adam Green
4Braun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel, Jerusalem, 9112102
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kyle Gettler
5Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA, 10029
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Judy H. Cho
5Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA, 10029
6The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA, 10029
7Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA, 10029
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Omer Weissbrod
8Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA, 02115
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Or Zuk
9Department of Statistics and Data Science, The Hebrew University of Jerusalem, Jerusalem, Israel, 9190501
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shai Carmi
4Braun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel, Jerusalem, 9112102
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: tlencz@northwell.edu shai.carmi@huji.ac.il
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Polygenic risk scores (PRSs) have been offered since 2019 to screen in vitro fertilization embryos for genetic liability to adult diseases, despite a lack of comprehensive modeling of expected outcomes. Here we predict, based on the liability threshold model, the expected reduction in complex disease risk following polygenic embryo screening for a single disease. Our main finding is that a strong determinant of the potential utility of such screening is the selection strategy, a factor that has not been previously studied. Specifically, when only embryos with a very high PRS are excluded, the achieved risk reduction is minimal. In contrast, selecting the embryo with the lowest PRS can lead to substantial relative risk reductions, given a sufficient number of viable embryos. For example, a relative risk reduction of ≈50% for schizophrenia can be achieved by selecting the embryo with the lowest PRS out of five viable embryos. We systematically examine the impact of several factors on the utility of screening, including the variance explained by the PRS, the number of embryos, the disease prevalence, the parental PRSs, and the parental disease status. When quantifying the utility, we consider both relative and absolute risk reductions, as well as population-averaged and per-couple risk reductions. We also examine the risk of pleiotropic effects. Finally, we confirm our theoretical predictions by simulating “virtual” couples and offspring based on real genomes from schizophrenia and Crohn’s disease case-control studies. We discuss the assumptions and limitations of our model, as well as the potential emerging ethical concerns.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • We have added new analyses examining simulated offspring from "virtual" couples derived from real GWAS data for patients with schizophrenia and patients with Crohn's disease.

  • Abbreviations

    IVF
    in-vitro fertilization
    PRS
    polygenic risk score
    PES
    polygenic embryo screening
    RRR
    relative risk reduction
    ARR
    absolute risk reduction
    HRE
    high-risk exclusion
    LRP
    lowest-risk prioritization
    LTM
    liability threshold model
    pcRRR
    per-couple relative risk reduction.
  • Copyright 
    The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
    Back to top
    PreviousNext
    Posted June 03, 2021.
    Download PDF

    Supplementary Material

    Email

    Thank you for your interest in spreading the word about bioRxiv.

    NOTE: Your email address is requested solely to identify you as the sender of this article.

    Enter multiple addresses on separate lines or separate them with commas.
    Utility of polygenic embryo screening for disease depends on the selection strategy
    (Your Name) has forwarded a page to you from bioRxiv
    (Your Name) thought you would like to see this page from the bioRxiv website.
    CAPTCHA
    This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
    Share
    Utility of polygenic embryo screening for disease depends on the selection strategy
    Todd Lencz, Daniel Backenroth, Einat Granot-Hershkovitz, Adam Green, Kyle Gettler, Judy H. Cho, Omer Weissbrod, Or Zuk, Shai Carmi
    bioRxiv 2020.11.05.370478; doi: https://doi.org/10.1101/2020.11.05.370478
    Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
    Citation Tools
    Utility of polygenic embryo screening for disease depends on the selection strategy
    Todd Lencz, Daniel Backenroth, Einat Granot-Hershkovitz, Adam Green, Kyle Gettler, Judy H. Cho, Omer Weissbrod, Or Zuk, Shai Carmi
    bioRxiv 2020.11.05.370478; doi: https://doi.org/10.1101/2020.11.05.370478

    Citation Manager Formats

    • BibTeX
    • Bookends
    • EasyBib
    • EndNote (tagged)
    • EndNote 8 (xml)
    • Medlars
    • Mendeley
    • Papers
    • RefWorks Tagged
    • Ref Manager
    • RIS
    • Zotero
    • Tweet Widget
    • Facebook Like
    • Google Plus One

    Subject Area

    • Genetics
    Subject Areas
    All Articles
    • Animal Behavior and Cognition (4113)
    • Biochemistry (8815)
    • Bioengineering (6519)
    • Bioinformatics (23463)
    • Biophysics (11790)
    • Cancer Biology (9209)
    • Cell Biology (13323)
    • Clinical Trials (138)
    • Developmental Biology (7438)
    • Ecology (11410)
    • Epidemiology (2066)
    • Evolutionary Biology (15151)
    • Genetics (10436)
    • Genomics (14044)
    • Immunology (9171)
    • Microbiology (22155)
    • Molecular Biology (8812)
    • Neuroscience (47570)
    • Paleontology (350)
    • Pathology (1428)
    • Pharmacology and Toxicology (2491)
    • Physiology (3730)
    • Plant Biology (8080)
    • Scientific Communication and Education (1437)
    • Synthetic Biology (2221)
    • Systems Biology (6037)
    • Zoology (1253)